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SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, dire...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Crop Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680942/ https://www.ncbi.nlm.nih.gov/pubmed/33343012 http://dx.doi.org/10.2135/cropsci2018.01.0047 |
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author | Makumbi, Dan Alvarado, Gregorio Crossa, José Burgueño, Juan |
author_facet | Makumbi, Dan Alvarado, Gregorio Crossa, José Burgueño, Juan |
author_sort | Makumbi, Dan |
collection | PubMed |
description | Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, direction of dominance, distribution of genes, maternal and reciprocal effects, number of groups of genes that control a trait and exhibit dominance, ratio of dominant to recessive alleles in all the parents, and broad-sense and narrow-sense heritability. In this paper, we fully describe a SAS-based software SASHAYDIALL for performing a complete diallel cross analysis based on Hayman’s model with or without reciprocals. We demonstrate the use of SASHAYDIALL with two data sets; one is a published diallel cross data set with reciprocals in cabbage (Brassica oleracea L.), and the second is a data set from a multilocation diallel cross trial in maize (Zea mays L.) without reciprocals. With SASHAYDIALL, diallel experiments conducted in single sites can be analyzed to estimate various genetic parameters, and this analysis is extended over locations or environments to assess genetic effect × environment interaction. SASHAYDIALL is user-friendly software that provides detailed genetic information from diallel crosses involving any number of parents and locations. |
format | Online Article Text |
id | pubmed-7680942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Crop Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76809422020-12-18 SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis Makumbi, Dan Alvarado, Gregorio Crossa, José Burgueño, Juan Crop Sci Research Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, direction of dominance, distribution of genes, maternal and reciprocal effects, number of groups of genes that control a trait and exhibit dominance, ratio of dominant to recessive alleles in all the parents, and broad-sense and narrow-sense heritability. In this paper, we fully describe a SAS-based software SASHAYDIALL for performing a complete diallel cross analysis based on Hayman’s model with or without reciprocals. We demonstrate the use of SASHAYDIALL with two data sets; one is a published diallel cross data set with reciprocals in cabbage (Brassica oleracea L.), and the second is a data set from a multilocation diallel cross trial in maize (Zea mays L.) without reciprocals. With SASHAYDIALL, diallel experiments conducted in single sites can be analyzed to estimate various genetic parameters, and this analysis is extended over locations or environments to assess genetic effect × environment interaction. SASHAYDIALL is user-friendly software that provides detailed genetic information from diallel crosses involving any number of parents and locations. Crop Science 2018-06-14 2018 /pmc/articles/PMC7680942/ /pubmed/33343012 http://dx.doi.org/10.2135/cropsci2018.01.0047 Text en © Crop Science Society of America http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Makumbi, Dan Alvarado, Gregorio Crossa, José Burgueño, Juan SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis |
title | SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis |
title_full | SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis |
title_fullStr | SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis |
title_full_unstemmed | SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis |
title_short | SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis |
title_sort | sashaydiall: a sas program for hayman’s diallel analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680942/ https://www.ncbi.nlm.nih.gov/pubmed/33343012 http://dx.doi.org/10.2135/cropsci2018.01.0047 |
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